Unsupervised learning of reflexive and action-based affordances to model adaptive navigational behavior

Here we introduce a cognitive model capable to model a variety of behavioral domains and apply it to a navigational task. We used place cells as sensory representation, such that the cells’ place fields divided the environment into discrete states. The robot learns knowledge of the environ...

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Bibliographic Details
Main Authors: Daniel Weiller, Leonhard Läer, Andreas K Engel, Peter Konig
Format: Article
Language:English
Published: Frontiers Media S.A. 2010-05-01
Series:Frontiers in Neurorobotics
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnbot.2010.00002/full